Machine learning assisted feature identification and prediction of hemodynamic endpoints using computed tomography in patients with CTEPH
Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Gawlitza, Joshua ; Endres, Sophie ; Fries, Peter ; Graf, Markus ; Wilkens, Heinrike ; Stroeder, Jonas ; Buecker, Arno ; Massmann, Alexander ; Ziegelmayer, Sebastian
Stichworte:
Original Paper ; CTEPH ; Computed tomography ; Pulmonary hypertension ; Artificial intelligence ; Medical and Health Sciences
Zeitschriftentitel:
The International Journal of Cardiovascular Imaging
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